Results 281 to 290 of about 5,636 (303)

Network Inversion of Convolutional Neural Nets (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence
Neural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes." This opacity raises concerns about their interpretability and reliability, especially in safety-critical scenarios.
Pirzada Suhail, Amit Sethi
openaire   +1 more source

Optical ReLUs for Holographic Convolutional Neural Nets

Frontiers in Optics + Laser Science 2025 (FiO, LS)
The array of adaptive interconnections needed for multilayer convolutional neural networks can be implemented and learned with all-optical back-propagation using thick Fourier-plane dynamic holographic photorefractive crystals and a phase sensitive bidirectional optical binary ReLU switch.
Kelvin Wagner, Sean McComb, Diego Olaya, Doug McKnight, Tim Slagle   +4 more
openaire   +1 more source

Mobile Net Convolutional Neural Networks for Video Classification

2021
Current data and correspondence advances give the foundation to send bits anyplace, however don't dare to deal with data at the semantic level.s This paper researches the utilization of video content investigation and high- light extraction and bunching strategies for additional video semantic arrangements.
Sudhakar Putheti, Bhimavarapu Sravya Pranati, Vishwaksen Bairisetti   +2 more
openaire   +1 more source

Empowering Convolutional Neural Nets with MetaSin Activation

Advances in Neural Information Processing Systems 36, 2023
Farnood Salehi, Tunç Ozan Aydin, André Gaillard, Guglielmo Camporese, Yuxuan Wang   +4 more
openaire   +2 more sources

Recognizing objectionable images using convolutional neural nets

2015 Signal Processing and Intelligent Systems Conference (SPIS), 2015
In recent years different methods for detecting objectionable images have proposed. All of the previous systems are based on extracting pre-defined and certain features from the images. In this paper a method is proposed in order to detect objectionable images using convolutional neural networks.
Reza Moradi, Rahman Yousefzadeh
openaire   +1 more source

DR-Net with Convolution Neural Network

2020 8th International Conference on Intelligent and Advanced Systems (ICIAS), 2021
Ahmad Bukhari Aujih, Mohd Ibrahim Shapiai, Fabrice Meriaudeau, Tong Boon Tang   +3 more
openaire   +1 more source

Optical Flow Estimation with Convolutional Neural Nets

Pattern Recognition and Image Analysis, 2021
null Syed Tafseer Haider Shah, Xiang Xuezhi, Waqas Ahmed   +2 more
openaire   +1 more source

A shallow convolutional neural network with elastic nets for blood glucose quantitative analysis using Raman spectroscopy

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2022
Qiaoyun Wang, Peng Shan, Zhigang Li
exaly  

U-Net Convolutional Neural Network for Optic Disc Segmentation

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023
D'Alessandro, Vito Ivano, Adamo, Francesco, De Palma, Luisa, Lotano, Daniel, Scarpetta, Marco   +4 more
openaire   +1 more source

Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network

Measurement: Journal of the International Measurement Confederation, 2020
Pengfei Liang, Chao Deng, Jun Wu
exaly